Using An HLA Simulation Environment For Safety Concept Verification Of Offshore Operations

Läsche, Christoph; Gollücke, Volker; Hahn, Axel

doi:10.7148/2013-0156

Cited by 4 publications

(11 citation statements)

References 9 publications

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“…"like described in" where?] (Läsche et al, 2013). To ensure interoperability of the co-simulators the data is exchange by using a common semantic data model that incorporates the concepts of S-100 standard.…”

Section: Methodsmentioning

confidence: 99%

Test Bed for Safety Assessment of New e-Navigation Systems

Hahn

2014

International Journal of e-Navigation and Maritime Economy

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New e-navigation strains require new technologies, new infrastructures and new organizational structures on bridge, on shore as well as in the cloud. Suitable engineering and safety/risk assessment methods facilitate these efforts. Understanding maritime transportation as a sociotechnical system allows the application of system-engineering methods. Formal, simulation based and in situ verification and validation of e-navigation technologies are important methods to obtain system safety and reliability. The modelling and simulation toolset HAGGIS provides methods for system specification and formal risk analysis. It provides a modelling framework for processes, fault trees and generic hazard specification and a physical world and maritime traffic simulation system. HAGGIS is accompanied by the physical test bed LABSKAUS which implements a physical test bed. The test bed provides reference ports and waterways in combination with an experimental Vessel Traffic Services (VTS) system and a mobile integrated bridge: This enables in situ experiments for technological evaluation, testing, ground research and demonstration. This paper describes an integrated seamless approach for developing new enavigation technologies starting with simulation based assessment and ending in physical real world demonstrations

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Section: Methodsmentioning

confidence: 99%

Test Bed for Safety Assessment of New e-Navigation Systems

Hahn

2014

International Journal of e-Navigation and Maritime Economy

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“…A physical world simulator [23] is used to produce the data to evaluate our data stream management system. The simulator performs the offshore operation described in Section 1 in which a lift supervisor observes a moving cargo.…”

Section: Simulationmentioning

confidence: 99%

Quality matters

Kuka

Nicklas

2014

Proceedings of the 8th ACM International Conference on Distributed Event-Based Systems

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Many pervasive computing applications need sensor data streams, which can vary significantly in accuracy. Depending on the application, deriving information (e.g., higherlevel context) from low-quality sensor data might lead to wrong decisions or even critical situations. Thus, it is important to control the quality throughout the whole data stream processing, from the raw sensor data up to the derived information, e.g., a complex event. In this paper, we present a uniform meta data model to represent sensor data and information quality at all levels of processing; we show how this meta data model can be integrated in a data stream processing engine to ease the development of quality-aware applications; and we present an approach to learn probability distributions of incoming sensor data which needs no prior knowledge. We demonstrate and evaluate our approach in a real-world scenario.

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“…The common Semantic Model shown in Figure 1 is used to describe all items and the shared environment of all simulators. In our case, this is technically archived by using a High Level Architecture (HLA) compliant implementation (Noulard et al 2009) like described in Läsche et al (2013). This implementation requires a formal description of the communicated data, in form of an Object Model Template (OMT).…”

Section: Cognitive Simulation Based Test Bedmentioning

confidence: 99%

“…Controllability means the possibility to influence the behavior of the simulation components as well as the whole co-simulation with commands like start and stop. Moreover, the controllability also covers the injection of manual and automatic failures like described in Läsche et al (2013). Furthermore, the co-simulation has to be observable because the user has to be able to monitor the internal states of the simulation components.…”

Section: Practical Requirementsmentioning

confidence: 99%

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Interoperability In Co-Simulatons Of Maritime Systems

Dibbern¹,

Hahn²,

Schweigert³

2014

ECMS 2014 Proceedings Edited By: Flaminio Squazzoni, Fabio Baronio, Claudia Archetti, Marco Castellani

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Powerful, flexible and cost-effective analyses of maritime systems can be conducted in an appropriate way with distributed simulations. Co-simulation components require interoperability like specified by the IEC TC/65/290/DC to insure information exchange and synchronization. Therefore this paper describes a way to insure the interoperability of co-simulations of maritime systems. User-and technical requirements for these co-simulations are derived to create a deeper understanding for especially the necessity of a common semantic model. Furthermore, six integration layers are presented for co-simulation-based analysis. They are derived from IEC TC/65/290/DC and the conceptual architecture approach for co-simulation systems. The paper introduces a semantic model approach to reflect the requirements formal description of the simulation model, observability, controllability and interoperability. The model is used to configure the inter-process communication of the used co-simulation architecture. This is done by an automatic model transformation from the semantic model to the platform specific implementation.

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Using An HLA Simulation Environment For Safety Concept Verification Of Offshore Operations

Cited by 4 publications

References 9 publications

Test Bed for Safety Assessment of New e-Navigation Systems

Test Bed for Safety Assessment of New e-Navigation Systems

Quality matters

Interoperability In Co-Simulatons Of Maritime Systems

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